Happy about our latest publication about simulating offender mobility using large-scale open data, where taxi flows and venues from Foursquare show promising results: jair.org/index.php/jair/arti…
Raquel Rosés retweeted
Save Rang-tan. You won't see our Christmas advert on TV this year because it has been banned. But our message is clear and too important not to share. Will you help us share the story? Have a Palm Oil Free Christmas this year.
#PalmOilAlarmCall
Happy to have participated in an interesting discussion about #PredictivePolicing at #Collegiumhelveticum
Raquel Rosés retweeted
New in @epj_ds
Mining large-scale human mobility data for long-term crime prediction
“large human mobility data to craft an extensive set of features for crime prediction, as informed by theories in criminology and urban studies. “
epjdatascience.springeropen.…
Super excited about winning the Best Student Paper Award @AAMAS2018 last week in Stockholm! #AAMAS2018 #AI #ABM #crime #LBSN what a great team @tweeting_cris Charlotte Gerritsen & Chris Rouly
Raquel Rosés retweeted
NEW RESEARCH: People typically revisit a set of 25 familiar locations day-to-day, but this set evolves over time and is proportional to the size of their social sphere nature.com/articles/s41562-0… @suneman @a_baronca @lau_retti
Still excited about having presented at #ECCA18CRIMINA about Simulating Crime using #LBSN and transportation data! teapawt.net/criminaumh/status/1004…
Raquel Rosés (@Raquel_Roses) present a research focused on using novel data sources describing the dynamics of activity nodes within the urban enviroment to enrich the mobility choices of virtual criminals within a simulation.
#ECCA18CRIMINA
Raquel Rosés retweeted
From this evening to next thursday, CRÍMINA will be hosting ECCA 2018.
It will be an exciting event to exchange experiences with some of the most brilliant researches in the globe in the field of environmental criminology and crime analysis.
#ECCA18CRIMINA
Raquel Rosés retweeted
Paper on mining large-mobility data for long-term crime prediction accepted to EPJ Data Science! Watch sneak peek video for main findings: vimeo.com/273185431 or check the arXiv preprint: arxiv.org/abs/1806.01400
Great input about improving crime models with social media data by measuring ambient population - @tweeting_cris at #SocInfo17 in #Oxford














